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Dae-Shik Kim
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2020 – today
- 2024
- [j28]Gyeongdo Ham
, Yucheol Cho
Difficulty level-based knowledge distillation. Neurocomputing 606: 128375 (2024) - [j27]Seonghak Kim
Maximizing discrimination capability of knowledge distillation with energy function. Knowl. Based Syst. 296: 111911 (2024) - [j26]Minchan Kang
Adaptive class token knowledge distillation for efficient vision transformer. Knowl. Based Syst. 304: 112531 (2024) - [j25]Donggon Jang, Sunhyeok Lee, Gyuwon Choi, Yejin Lee, Sanghyeok Son, Dae-Shik Kim:
Energy-Based Domain Adaptation Without Intermediate Domain Dataset for Foggy Scene Segmentation. IEEE Trans. Image Process. 33: 6143-6157 (2024) - [c38]Kassymzhomart Kunanbayev, Vyacheslav Shen, Dae-Shik Kim:
Training ViT with Limited Data for Alzheimer's Disease Classification: An Empirical Study. MICCAI (12) 2024: 334-343 - [c37]Joonhyeok Jang, Sunhyeok Lee, Seonghak Kim, Jung-Un Kim, Seonghyun Kim, Daeshik Kim:
Robust Unsupervised Domain Adaptation through Negative-View Regularization. WACV 2024: 2450-2459 - 2023
- [j24]Minchan Kang
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling. Appl. Intell. 53(24): 30940-30953 (2023) - [j23]Yucheol Cho
Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network. Pattern Recognit. 140: 109541 (2023) - [c36]Sunhyeok Lee, Donggon Jang, Dae-Shik Kim:
Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement. CVPR Workshops 2023: 4208-4217 - [c35]Jae-Hyeok Lee, Dae-Shik Kim:
ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. ICCV 2023: 3468-3478 - [c34]Jeongwon Lee, Dae-Shik Kim:
RobustSsF: Robust Missing Modality Brain Tumor Segmentation with Self-supervised Learning-Based Scenario-Specific Fusion. ML4MHD 2023: 43-53 - [c33]Gyuseong Kang, Hyunjin Shin, Hyuntaek Jung, Sunkyu Lee, Jaeseung Choi, Sangyeop Baeck, Hyunsung Jung, Daeshik Kim, Sohee Hwang, Shinhee Han, Yongsung Ji, Sei Seung Yoon:
A 14nm 128Mb Embedded MRAM Macro achieved the Best Figure-Of-Merit with 80MHz Read operation and 18.1Mb/mm² implementation at 0.64V. VLSI Technology and Circuits 2023: 1-2 - [i11]Seonghak Kim, Gyeongdo Ham, Yucheol Cho, Daeshik Kim:
Robustness-Reinforced Knowledge Distillation with Correlation Distance and Network Pruning. CoRR abs/2311.13934 (2023) - [i10]Gyeongdo Ham, Seonghak Kim, Suin Lee, Jae-Hyeok Lee, Daeshik Kim:
Cosine Similarity Knowledge Distillation for Individual Class Information Transfer. CoRR abs/2311.14307 (2023) - [i9]Seonghak Kim, Gyeongdo Ham, Suin Lee, Donggon Jang, Daeshik Kim:
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score. CoRR abs/2311.14334 (2023) - 2022
- [j22]Gyeongdo Ham
P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning. IEEE Access 10: 115652-115662 (2022) - [j21]Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, Joon-Kyu Han, Jin-Ki Kim, Donggon Jang, Nahyun Kim, Moon-Seok Kim, Sung Gap Im, Dae-Shik Kim, Yang-Kyu Choi
A Multiple-State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning. Adv. Intell. Syst. 4(6) (2022) - [c32]Donggon Jang, Sanghyeok Son, Dae-Shik Kim:
Strengthening the Transferability of Adversarial Examples Using Advanced Looking Ahead and Self-CutMix. CVPR Workshops 2022: 147-154 - [c31]Kassymzhomart Kunanbayev
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data. MLCN@MICCAI 2022: 42-51 - [c30]Bomi Kim, Sunhyeok Lee, Nahyun Kim, Donggon Jang, Dae-Shik Kim:
Learning Color Representations for Low-Light Image Enhancement. WACV 2022: 904-912 - 2021
- [c29]Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Daeshik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. BMVC 2021: 329 - [c28]Wooyeong Cho, Sanghyeok Son, Dae-Shik Kim:
Weighted Multi-Kernel Prediction Network for Burst Image Super-Resolution. CVPR Workshops 2021: 404-413 - [c27]JungHyuk Im
Cross-Active Connection for Image-Text Multimodal Feature Fusion. NLDB 2021: 343-354 - [i8]Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021) - [i7]Nahyun Kim, Donggon Jang, Sunhyeok Lee, Bomi Kim, Dae-Shik Kim:
Unsupervised Image Denoising with Frequency Domain Knowledge. CoRR abs/2111.14362 (2021) - 2020
- [c26]Geondo Park, Chihye Han, Daeshik Kim, Wonjun Yoon:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. WACV 2020: 1507-1515 - [i6]Geondo Park, Chihye Han, Wonjun Yoon, Daeshik Kim:
MHSAN: Multi-Head Self-Attention Network for Visual Semantic Embedding. CoRR abs/2001.03712 (2020) - [i5]Andriy Serdega, Dae-Shik Kim:
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors. CoRR abs/2005.13953 (2020) - [i4]Andriy Serdega, Dae-Shik Kim:
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors. CoRR abs/2006.02227 (2020)
2010 – 2019
- 2019
- [j20]Tetiana Parshakova
Latent Question Interpretation Through Variational Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1713-1724 (2019) - [c25]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. BMVC 2019: 192 - [c24]Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam:
Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study. IJCNN 2019: 1-8 - [c23]Gihyun Kwon, Chihye Han, Daeshik Kim:
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. MICCAI (3) 2019: 118-126 - [i3]Chihye Han, Wonjun Yoon, Gihyun Kwon, Seungkyu Nam, Daeshik Kim:
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study. CoRR abs/1905.02422 (2019) - [i2]Gihyun Kwon, Chihye Han, Daeshik Kim:
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks. CoRR abs/1908.02498 (2019) - [i1]Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim:
Progressive Face Super-Resolution via Attention to Facial Landmark. CoRR abs/1908.08239 (2019) - 2018
- [j19]Jun-Cheol Park
Learning for Goal-Directed Actions Using RNNPB: Developmental Change of "What to Imitate". IEEE Trans. Cogn. Dev. Syst. 10(3): 545-556 (2018) - [c22]Tetiana Parshakova, Dae-Shik Kim:
Latent Question Interpretation Through Parameter Adaptation Using Stochastic Neuron. MRC@IJCAI 2018: 46-55 - [c21]Jaesung Bae, Dae-Shik Kim:
End-to-End Speech Command Recognition with Capsule Network. INTERSPEECH 2018: 776-780 - [c20]Jeongho Kim, Dae-Shik Kim:
Competitive Hyperparameter Balancing on Spiking Neural Network for a Fast, Accurate and Energy-Efficient Inference. ISNN 2018: 44-53 - 2017
- [j18]Gunpil Hwang
A 2.048 Mb/s Full-Duplex Free-Space Optical Transceiver IC for a Real-Time In Vivo Brain-Computer Interface Mouse Experiment Under Social Interaction. IEEE J. Solid State Circuits 52(4): 1007-1020 (2017) - [c19]KangUn Jo, JungHyuk Im, Jingu Kim, Dae-Shik Kim:
A real-time multi-class multi-object tracker using YOLOv2. ICSIPA 2017: 507-511 - [c18]KangUn Jo, JungHyuk Im, Dae-Shik Kim:
Comparison of single and deep long short-term memory for single object tracking. RACS 2017: 85-88 - 2016
- [c17]Jinwoo Jeon, Jun-Cheol Park, Youngjoo Jo, Changmo Nam, Kyung-Hoon Bae, Youngkyoo Hwang, Dae-Shik Kim:
A Real-time Facial Expression Recognizer using Deep Neural Network. IMCOM 2016: 94:1-94:4 - [c16]Changmo Nam, Jun-Cheol Park, Dae-Shik Kim:
Indoor Human Activity Recognition with Contextual Cues in Videos. IMCOM 2016: 97:1-97:4 - [c15]Youngjoo Jo, Jun-Cheol Park, Jinwoo Jeon, Changmo Nam, Junghee Han, Yongin Park, Dae-Shik Kim:
A Real-time Object Tracker equipped with Deep Object Recognizer. IMCOM 2016: 99:1-99:4 - [c14]Gunpil Hwang, JongKwan Choi, Jaehyeok Yang, Sungmin Lim, Jae-Myoung Kim, MinGyu Choi, Dae-Shik Kim, Kiuk Gwak, Jinwoo Jeon, Hee Sup Shin, Il-Hwan Choi, Sol Park, Hyeon-Min Bae:
A 2.048 Mb/s full-duplex free-space optical transceiver IC for a real-time in vivo neurofeedback mouse experiment under social interaction. VLSI Circuits 2016: 1-2 - 2014
- [c13]Jun-Cheol Park, Dae-Shik Kim, Yukie Nagai:
Developmental Dynamics of RNNPB: New Insight about Infant Action Development. SAB 2014: 144-153 - [c12]Kiuk Gwak, Robert Leeb, José del R. Millán
Quantification and reduction of visual load during BCI operation. SMC 2014: 2795-2800 - 2013
- [j17]Eunwoo Kim, Dae-Shik Kim, Fayyaz Ahmad, Hyun Wook Park:
Pattern-Based Granger Causality Mapping in fMRI. Brain Connect. 3(6): 569-577 (2013) - [j16]Jungsoo Lee, Dae-Shik Kim:
Divide et impera: Acceleration of DTI tractography using multi-GPU parallel processing. Int. J. Imaging Syst. Technol. 23(3): 256-264 (2013) - [j15]Emi Takahashi, Kenichi Ohki, Dae-Shik Kim:
Dissociation and convergence of the dorsal and ventral visual working memory streams in the human prefrontal cortex. NeuroImage 65: 488-498 (2013) - [c11]Kiuk Gwak, Robert Leeb, José del R. Millán
A novel tactile stimulation system for BCI feedback. BCI 2013: 29-31 - [c10]Seungkyu Nam, Kyung Hwan Kim, Dae-Shik Kim:
Motor trajectory decoding based on fMRI-based BCI - A simulation study. BCI 2013: 89-91 - [c9]Robert Leeb, Kiuk Gwak, Dae-Shik Kim, José del R. Millán
Freeing the visual channel by exploiting vibrotactile BCI feedback. EMBC 2013: 3093-3096 - [c8]Hansol Choi, Dae-Shik Kim:
Planning as Inference in a Hierarchical Predictive Memory. ICONIP (1) 2013: 17-24 - [c7]Juhyeon Lee, Jae Hyun Lim, Hyungwon Choi, Dae-Shik Kim:
Multiple Kernel Learning with Hierarchical Feature Representations. ICONIP (3) 2013: 517-524 - [c6]Jun-Cheol Park, Yunhun Jang, Hyungwon Choi, Sihyeon Seong, Sunghun Kang, Dae-Shik Kim:
Applications of projection based interactive user interface. SIGGRAPH ASIA Posters 2013: 40 - 2012
- [c5]Kiuk Gwak, Jun-Cheol Park, Dae-Shik Kim:
A Novel Stimulation Method Based on a Neuromorphic Mechanoreceptor Model for Haptic Illusion. EuroHaptics (2) 2012: 49-54 - [c4]Jun-Cheol Park, Jae Hyeon Yoo, Juhyeon Lee, Dae-Shik Kim:
Apparent Volitional Behavior Selection Based on Memory Predictions. ICONIP (1) 2012: 484-491 - [c3]Hansol Choi, Jun-Cheol Park, Jae Hyun Lim, Jae Young Jun, Dae-Shik Kim:
Reward hierarchical temporal memory. IJCNN 2012: 1-7 - [c2]Jae Hyun Lim, Hansol Choi, Jun-Cheol Park, Jae Young Jun, Dae-Shik Kim:
Learning spatio-temporally invariant representations from video. IJCNN 2012: 1-6 - 2010
- [j14]Dae-Shik Kim, Robert S. Wall Emerson, Amy B. Curtis:
Ergonomic Factors Related to Drop-Off Detection With the Long Cane: Effects of Cane Tips and Techniques. Hum. Factors 52(3): 456-465 (2010) - [j13]Dae-Shik Kim:
Guest editorial: Special issue on neuroimaging. Int. J. Imaging Syst. Technol. 20(1): 1 (2010) - [j12]Bang-Bon Koo
Computer-based morphometry of brain. Int. J. Imaging Syst. Technol. 20(2): 117-125 (2010) - [j11]Zang-Hee Cho, Jae-Yong Han, Seok-Il Hwang, Dae-Shik Kim, Kyoung-Nam Kim, Nam-Beom Kim, Seog Ju Kim, Je-Geun Chi
Quantitative analysis of the hippocampus using images obtained from 7.0 T MRI. NeuroImage 49(3): 2134-2140 (2010)
2000 – 2009
- 2009
- [j10]Bang-Bon Koo
A framework to analyze partial volume effect on gray matter mean diffusivity measurements. NeuroImage 44(1): 136-144 (2009) - 2008
- [j9]Jaymin Upadhyay, Kevin Hallock
Diffusion tensor spectroscopy and imaging of the arcuate fasciculus. NeuroImage 39(1): 1-9 (2008) - [j8]Alard Roebroeck, Ralf Galuske, Elia Formisano
High-resolution diffusion tensor imaging and tractography of the human optic chiasm at 9.4 T. NeuroImage 39(1): 157-168 (2008) - 2007
- [j7]Emi Takahashi, Kenichi Ohki, Dae-Shik Kim:
Diffusion tensor studies dissociated two fronto-temporal pathways in the human memory system. NeuroImage 34(2): 827-838 (2007) - 2006
- [j6]Mina Kim
Spatial resolution dependence of DTI tractography in human occipito-callosal region. NeuroImage 32(3): 1243-1249 (2006) - 2004
- [j5]Dae-Shik Kim, Itamar Ronen, Cheryl Olman
Spatial relationship between neuronal activity and BOLD functional MRI. NeuroImage 21(3): 876-885 (2004) - 2003
- [j4]Allen W. Song, Todd B. Harshbarger
Functional activation using apparent diffusion coefficient-dependent contrast allows better spatial localization to the neuronal activity: evidence using diffusion tensor imaging and fiber tracking. NeuroImage 20(2): 955-961 (2003) - 2001
- [j3]Kâmil Ugurbil, Dae-Shik Kim, Tim Q. Duong
Magnetic resonance imaging of brain function and neurochemistry. Proc. IEEE 89(7): 1093-1106 (2001)
1990 – 1999
- 1990
- [j2]Anna Nagurney, Dae-Shik Kim, Alan G. Robinson:
Serial and Parallel Equilibration of Large-Scale Constrained Matrix Problems With Application To the Social and Economic Sciences. Int. J. High Perform. Comput. Appl. 4(1): 49-71 (1990) - [c1]Anna Nagurney, Alexander Eydeland, Dae-Shik Kim:
Computation of large-scale constrained matrix problems: the splitting equilibration algorithm. SC 1990: 214-223
1980 – 1989
- 1989
- [j1]Anna Nagurney, Dae-Shik Kim:
Parallel and Serial Variational Inequality Decomposition Algorithms for Multicommodity Market Equilibrium Problems. Int. J. High Perform. Comput. Appl. 3(1): 34-58 (1989)
Coauthor Index
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last updated on 2024-11-18 20:39 CET by the dblp team
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